Snapshot*
Top 10 Holdings
What is BOXX?
Alpha Architect 1-3 Month Box ETF (the "Fund") is an actively managed exchange-traded fund ("ETF") whose investment objective is to provide investment results that, before fees and expenses, equal or exceed the price and yield performance of an investment that tracks the 1-3 month sector of the United States Treasury Bill market. To do so, the principal investment strategy of the Fund will be to utilize an exchange-listed options strategy called a box spread ("Box Spread"). In order to accomplish its investment goals, the Fund may utilize either standard exchange-listed options or FLexible EXchange Options ("FLEX Options") or a combination of both.
BOXXPerformance Measures**
for the time period Dec 28, 2022 to Dec 4, 2025
1M Trailing Return: 0.4%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 1.0%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -0.1%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 0.4%
The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.
Sharpe Ratio: 12.84
The annualized arithmetic mean of the daily returns divided by the annualized standard deviation of the daily returns for the selected time period.
Calmar Ratio: 42.00
The annualized return divided by the max drawdown for the selected time period.
ETFs related toBOXX
ETFs correlated to BOXX include BILS, GBIL, XHLF
What is ETF correlation?
Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.
Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.
Using ETF correlations in portfolio and strategy construction
ETF correlations can help you create investing strategies and portfolios. Use them to:
- •Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
- •Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
- •Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.
Trading Strategies
Related toBOXX
[COMPLEX] Blend: V4 & V5 CFS + BBD, BHFEAR | BIL + v4 Pops - K-1 Free - Longer Backtest
Category
Leveraged ETFs, tactical allocation, risk-on/risk-off, momentum + mean reversion, volatility-aware
OOS Cumulative Return
161.86%
Kearsarge - 13% Threshold + v4 Pops + Commodity Momentum (#COMMO)
Category
Tactical allocation, Momentum and mean reversion, Volatility hedging, Leveraged ETFs, Multi-asset, Defensive overlays
OOS Cumulative Return
60.6%
Create your own algorithmic trading strategy with BOXX using Composer
FAQ
Disclaimers
We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.
We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.